Ms. Fatema Akter | Green University of Bangladesh

Ms. Fatema Akter

Lecturer

M.Sc
Institute: Jagannath University
Department: Computer Science and Engineering
Passing year: 2022

B.Sc
Institute: Jagannath University
Department: Computer Science and Engineering
Passing year 2021

HSC
College: Dr. Mahbubur Rahman Mollah College
passing year: 2014

SSC
school: Bawany Adarsha Viddalaya
passing year: 2012

  • Lecturer
  • Duration: February 2022 ~ till date
    Department of Computer Science and Engineering
    Green University of Bangladesh, Dhaka, Bangladesh.

1. Tamanna Tabassum, Fatema Akter, and M. N. Uddin. An Ethereum Blockchain-Based Healthcare System using Smart Contract. International Conference on Big Data, IoT and Machine Learning (BIM 2021).

2. Tabassum, Tamanna, Fatema Akter, and Mohammed Nasir Uddin. “DROM: Read Only Memory Storage in DNA Computing.” In 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI), pp. 1-6. IEEE, 2022.

3. Fatema Akter, Tamanna Tabassum, and Mohammed Nasir Uddin. “Programmable Logic Array in Quantum Computing.” International Conference on Machine Intelligence and Emerging Technologies. Cham: Springer Nature Switzerland, 2022.

4. Tabassum, Tamanna, Fatema Akter, and Mohammed Nasir Uddin. “QPROM: Quantum Nanotechnology for Data Storage Using Programmable Read Only Memory.” In International Conference on Machine Intelligence and Emerging Technologies, pp. 447-459. Cham: Springer Nature Switzerland, 2022.

5. Fatema Akter, Tamanna Tabassum, and Mohammed Nasir Uddin. “Field Programmable Gate Array in DNA Computing.” In International Conference on Big Data, IoT and Machine Learning, pp. 95-107. Singapore: Springer Nature Singapore, 2023.

6. Tabassum, Tamanna, and Fatema Akter. “QRAM: Quantum Technology for Random Access Memory.” In 2023 26th International Conference on Computer and Information Technology (ICCIT), pp. 1-4. IEEE, 2023.

7. Uddin, Khandaker Mohammad Mohi, Hasibur Rahman, Mahadi Hasan, Fatema Akter, Suman Chandra Das. “A machine learning approach to predict autism spectrum disorder (ASD) for both children and adults using feature optimization.” Network Biology 13, no. 2 (2023): 37.

Funds:

1. Achieved ICT fellowship from ICT ministry (তথ্য ও যোগাযোগ প্রযুক্তি বিভাগfor innovation work-2021-2022

2. Achieved National Science and Technology (NST) Fellowship -2021

Scholarship:

• University Merit Scholarship – 2016
• University Merit Scholarship – 2017
• University Merit Scholarship – 2018
• University Merit Scholarship – 2019

   Research Interests:

  • Blockchain
  • Quantum Computing
  • DNA computing